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Reduce batch size during pretrain

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This commit is contained in:
Matthew Honnibal 2018-12-10 15:30:23 +00:00
parent 83ac227bd3
commit df15279e88
1 changed files with 1 additions and 1 deletions
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spacy/cli/pretrain.py
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@ -110,7 +110,7 @@ def pretrain(
msg.row(("#", "# Words", "Total Loss", "Loss", "w/s"), **row_settings) msg.row(("#", "# Words", "Total Loss", "Loss", "w/s"), **row_settings)
for epoch in range(nr_iter): for epoch in range(nr_iter):
for batch in util.minibatch_by_words( for batch in util.minibatch_by_words(
((text, None) for text in texts), size=5000 ((text, None) for text in texts), size=3000
): ):
docs = make_docs(nlp, [text for (text, _) in batch]) docs = make_docs(nlp, [text for (text, _) in batch])
loss = make_update(model, docs, optimizer, drop=dropout) loss = make_update(model, docs, optimizer, drop=dropout)